Dataset Versions

v1

2024-12-06 11:08am

Generated on Dec 6, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
1335Images
Valid Set 1%
22Images
Test Set 10%
158Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.8% of pixels
Bounding Box: Brightness: Between -21% and +21%
Bounding Box: Exposure: Between -17% and +17%
Bounding Box: Blur: Up to 3.7px
Bounding Box: Noise: Up to 0.93% of pixels

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